No. The correlation between two variables implies that one of them can be predictor of the other. That is, one variable helps to forecast the other and it is not causality.
No. If Factor X is correlated to Factor Y then you can use one as a predictor of the other, but you should never assume that one causes the other (it may, but correlation alone doesn't prove it).Consider the correlation between proximity to a swampland and chances of contracting malaria. Do swamplands cause malaria? No. Malaria is propagated via mosquitoes which of course love to live in swamplands. So your proximity to a swampland is a useful predictor of your chances of contracting malaria, but doesn't cause it.
No! Correlation by itself is not sufficient to infer or prove causation.
does not prove
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
Prove or explain.
The advantage of the correlational research method is the ability to prove a positive or negative correlation between two subjects . The disadvantage of this is the unclear interpreation of cause and affect. moletsane
Correlation is a statistical relationship between two variables, while causation implies that one variable directly influences the other. Correlation does not prove causation, as there may be other factors at play. It is important to consider other evidence before concluding a causal relationship.
to prove that I'm smart
if u can explain wat the story is about.
A strong positive correlation does not prove causation. People only get sunburned during daylight hours. Sundials only work during daylight hours. Therefore sundials cause sunburns. The above sentences show how absurd such predicate thinking could be. Simply because two events usually occur at the same time does not mean they are related. One man found a perfect correlation between the price of whiskey and Chicago school teachers' salaries. No possible relationship could possibly exist except the rate of prosperity and inflation. Causation is difficult to prove.
In order to prove causation, researchers need to establish correlation and time order and rule out alternative explanations.
correlation does not imply causation, meaning that a negative correlation between two variables does not prove that one causes the other; it could be due to other factors influencing both variables. It is important to consider other variables and conduct more research to establish a causal relationship between self-esteem and anxiety levels in students.